Blogs

When a CTO says "we need to replace our SaaS stack," the conversation usually starts in the wrong place: which vendor, what price, which integrations. That framing assumes the thing being replaced is itself a SaaS product with a comparable substitute sitting in a G2 category page.

Most enterprise engineering organizations are not deciding whether to adopt AI coding agents anymore. That decision is already behind them. What they are actually deciding, often without realizing it, is whether the velocity those agents produced in the first two quarters holds up once the codebase, the team count, and the audit scrutiny all grow at the same time. This piece walks through what has to be true for that velocity to hold, section by section, starting with where specification actually belongs in your delivery lifecycle.

License an AI coding assistant, roll it out to the team, wait for velocity to show up in the numbers. The first draft does come faster. That part is real, and it's also the entire extent of what changes on its own.

Your engineers are already using Cursor, Copilot, Claude Code, and other AI tools. But if requirements, architecture, development, testing, review, and release still operate the same way, you haven't built an AI-native SDLC. You've built an AI-augmented one.

The word "agentic" gets attached to almost anything with a chat interface right now, so it's worth being precise about what it actually means before mapping it to the deal lifecycle. Three distinct levels get sold under the same word, and the difference between them is exactly where a vendor's claim tends to fall apart.

If you have a SaaS renewal coming up in the next couple of quarters, you've probably seen the SaaSpocalypse headlines and wondered whether they actually apply to you, or whether it's just noise for people who trade software stocks. It applies to you. The pricing model behind your renewal is the same one that's already cracking in public.